Semantically inspired AMR alignment for the portuguese language (2020)
Anchieta, Rafael Torres 
; Pardo, Thiago Alexandre Salgueiro
Source: Proceedings. Conference titles: Conference on Empirical Methods in Natural Language Processing - EMNLP. Unidade: ICMC
Subjects: LINGUÍSTICA COMPUTACIONAL, PROCESSAMENTO DE LINGUAGEM NATURAL, PORTUGUÊS DO BRASIL
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ABNT
ANCHIETA, Rafael Torres e PARDO, Thiago Alexandre Salgueiro. Semantically inspired AMR alignment for the portuguese language. 2020, Anais.. Stroudsburg: ACL, 2020. Disponível em: https://www.aclweb.org/anthology/2020.emnlp-main.123.pdf. Acesso em: 13 nov. 2025.APA
Anchieta, R. T., & Pardo, T. A. S. (2020). Semantically inspired AMR alignment for the portuguese language. In Proceedings. Stroudsburg: ACL. Recuperado de https://www.aclweb.org/anthology/2020.emnlp-main.123.pdfNLM
Anchieta RT, Pardo TAS. Semantically inspired AMR alignment for the portuguese language [Internet]. Proceedings. 2020 ;[citado 2025 nov. 13 ] Available from: https://www.aclweb.org/anthology/2020.emnlp-main.123.pdfVancouver
Anchieta RT, Pardo TAS. Semantically inspired AMR alignment for the portuguese language [Internet]. Proceedings. 2020 ;[citado 2025 nov. 13 ] Available from: https://www.aclweb.org/anthology/2020.emnlp-main.123.pdf
